You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
It is about grid search (Table 3) in your experiment to learn non-robust features from the relabeled non-robust set.
When training on a non-robust set, what validation data did you use to decide the best model hyper-parameters?
Did you split the non-robust set into train and validation set to choose the best hyper-parameters?
or used part of the original images?
Since I don't understand using a part of the non-robust set as a validation set can work for obtaining good test accuracy, I was confused.
The text was updated successfully, but these errors were encountered:
It is about grid search (Table 3) in your experiment to learn non-robust features from the relabeled non-robust set.
When training on a non-robust set, what validation data did you use to decide the best model hyper-parameters?
Did you split the non-robust set into train and validation set to choose the best hyper-parameters?
or used part of the original images?
Since I don't understand using a part of the non-robust set as a validation set can work for obtaining good test accuracy, I was confused.
The text was updated successfully, but these errors were encountered: